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The classification of a single image is performed within a few seconds.
Within the same statistical framework, a simultaneous noise reduction in the image is performed by means of a shrinkage function, thus preventing noise amplification.
In the case of 2-D image analysis PSF information can be input as an image file and then the convolution (sliding kernel or FFT) with the source model and the PSF image is performed during the fitting process.
The recovery of the original image is performed as follows: Figure 5 Decoder architecture design.
During detection and recovery step, the four-level on the image is performed.
A level (in the following analysis we use = 3) DWT of the original image is performed using Harr bases.
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Reconstructions from a test image were performed.
Densitometric analysis of the image was performed using ImageJ.
Boundary-Based Registration between structural and mean functional image was performed with Freesurfer bbregister50.
Imaging is performed without administration of contrast agents.
Imaging is performed on qualified ADNI GE systems [ 113].
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